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A Protocol for a Mixed-Methods Process Evaluation of a Local Population Health Management System to Reduce Inequities in Covid-19 Vaccination Uptake

Dados Bibliográficos

ID15501383
AutoresGeorgia Butina Watson (London Borough of Camden), Georgia Watson (London Boroughs of Camden & Islington, London N1 1XR, UK), Cassie Moore (0009-0007-3646-7648, London Borough of Camden), Fiona Aspinal (0000-0003-3170-7570, University College London), Claudette Boa (Public Health England), Vusi Edeki (Public Health England), Andrew Hutchings (0000-0003-0215-9923, University of London), Rosalind Raine (0000-0003-0904-749X, University College London), Jessica Sheringham (0000-0003-3468-129X, University College London, autor correspondente)
Ano2022
Volume19
Fascículo8
Páginas4588-4588
Data de publicação2022-04-11
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19084588
PMID35457461
OpenAlexW4223539916
IdiomaEN
Referências citadas10

Population health management is an emerging technique to link and analyse patient data across several organisations in order to identify population needs and plan care. It is increasingly used in England and has become more important as health policy has sought to drive greater integration across health and care organisations. This protocol describes a mixed-methods process evaluation of an innovative population health management system in North Central London, England, serving a population of 1.5 million. It focuses on how staff have used a specific tool within North Central London's population health management system designed to reduce inequities in COVID-19 vaccination. The COVID-19 vaccination Dashboard was first deployed from December 2020 and enables staff in North London to view variations in the uptake of COVID-19 vaccinations by population characteristics in near real-time. The evaluation will combine interviews with clinical and non-clinical staff with staff usage analytics, including the volume and frequency of staff Dashboard views, to describe the tool's reach and identify possible mechanisms of impact. While seeking to provide timely insights to optimise the design of population health management tools in North Central London, it also seeks to provide longer term transferable learning on methods to evaluate population health management systems

Business · Dashboard · Data science · Economic growth · Environmental health · Health care · Population · Population health · Protocol (science · Chronic Disease Management Strategies · Computer Science · Health disparities and outcomes · Medicine · Primary Care and Health Outcomes

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